import numpy
import matplotlib.pyplot
from subrela.clustering import get_clusters
from subrela.plot import get_dendrogram_data
from subrela.plot.matplotlib import draw_dendrogram
X = numpy.array([[0, -5, -5, 6, 6], [0, -1, 1, -2, 2]])
Z = get_clusters(X)
leaf_data, _, tree_data, cut_data = get_dendrogram_data(
Z, groups=[0, 5, 6])
_, ax = matplotlib.pyplot.subplots(figsize=(4, 4))
draw_dendrogram(ax, leaf_data, tree_data, cut_data, palette=['m', 'c'])
matplotlib.pyplot.show()
import numpy
import matplotlib.pyplot
from subrela.clustering import get_clusters
from subrela.plot import get_dendrogram_data
from subrela.plot.matplotlib import draw_dendrogram, draw_node_info
X = numpy.array([[0, -5, -5, 6, 6], [0, -1, 1, -2, 2]])
Z = get_clusters(X)
leaf_data, node_data, tree_data, cut_data = get_dendrogram_data(Z)
_, ax = matplotlib.pyplot.subplots(figsize=(4, 4))
draw_dendrogram(ax, leaf_data, tree_data, cut_data)
draw_node_info(ax, node_data, node_data['height'],
formatter='{:.1f}'.format)
matplotlib.pyplot.show()
import numpy
import matplotlib.pyplot
from subrela.clustering import get_clusters
from subrela.plot import get_dendrogram_data
from subrela.plot.matplotlib import draw_dendrogram
X = numpy.array([[0, -5, -5, 6, 6], [0, -1, 1, -2, 2]])
Z = get_clusters(X)
leaf_data, _, tree_data, cut_data = get_dendrogram_data(
Z, groups=[0, 5, 6])
_, ax = matplotlib.pyplot.subplots(figsize=(4, 4))
draw_dendrogram(ax, leaf_data, tree_data, cut_data,
orientation='horizontal')
matplotlib.pyplot.show()
